O11ycast

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How engineers see what their production code is really doing.

The gist

O11ycast, short for Observability Cast, is a technical conversation about how software teams find out what their code is really doing in production. Recent guests include Bryan Cantrill, Amarilis Campos of Nubank and Dr. Cat Hicks, and the question of how AI changes that work keeps coming up.

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About O11ycast

O11ycast, spoken on air as Observability Cast, is a technical conversation about how software teams learn what their code is doing once it reaches production. Its stated aim is production systems that are more observable, more reliable and easier to maintain. That could pass for a tooling brief. The recent episodes keep pushing back on that reading. One puts the point flatly: 'This is not a tools problem. This is a systems problem.' The same conversation says the DevOps movement has been trying to build one feedback loop spanning developers and production, and that it has mostly failed. It adds that AI has shortened what counts as a fast feedback loop. The Nubank episode, with Amarilis Campos, calls observability a culture that is easy to undervalue when engineers are busy shipping new services. It also ties reliability to the whole customer journey, down to someone opening an app to send money to a parent or sister. AI comes up in most recent episodes, and the mood about it swings. In 'Software Is the Killer App for AI', with Bryan Cantrill, the falling cost of writing software is compared to what open source did, and a thousand kitchens in every home is described as good news for the fire department. The episode with Dr. Cat Hicks, a self-described psychologist for software teams, takes the other side: developers under heavy load while they adapt to a new technology, with little care for their psychological needs. It also argues that developer experience itself is poorly observed, a fitting complaint on a show named for observation. Then there is the hands-on material. Lada Kesseler walks through augmented coding patterns, including a 'context marker' that shows what an AI agent is holding in context. The same episode pictures an AI turned loose in Zork, a game from the 1980s, and asks what high-level views would reveal what it is up to. The conversation with Maddy Montaquila on .NET Aspire argues for telemetry by default, since stepping through a debugger stops working across fifty interacting microservices, and describes asking Honeycomb's MCP to read the telemetry and name the bug. There is some humor too, from a 'SpaghettiO' moment of panic to a detour into parenthood. Ken Rimple is heard in every recent introduction, Jessica Kerr in most, and Charity Majors, Austin Parker and Martin Thwaites in others. Every recent episode closes by inviting guest and topic suggestions, and Heavybit, an investor in developer-first startups, sponsors the series. The best place to start depends on the question a listener brings: the Cat Hicks episode for how AI tools affect teams, the Kesseler episode for practical habits with coding agents, and the Nubank conversation for reliability measured against credit card and lending transactions. Occasional mild profanity comes up in conversation.

Made for: Suits a listener who builds or runs production software and wants engineers talking plainly about telemetry, feedback loops and what AI-written code means for keeping systems understandable.

What sets it apart: It frames observability as a systems and culture problem rather than a tools problem. It also ranges widely in its guests, from a self-described psychologist for software teams to someone sharing coding patterns for AI agents.

In their own words

Exploring the observability side of software development.

Why you'd press play

A perfect SLO, frustrated users: this is the argument your dashboard cannot settle.

Press play if you want

  • to ask whether a green success rate matches what users actually experience
  • to see what an AI coding assistant read before you trust its answer
Read the full recommendation in PlayNext →
Observability as engineering cultureTelemetry, tracing and metricsFeedback loops between developers and productionAI coding agents and generated codeDeveloper experience and team psychologyReliability tied to customer journeysDebugging distributed microservices

Talks about

Best episodes of O11ycast

Short reviews from the PlayNext desk, based on the episodes we processed.

Ep. #89, Software Is the Killer App for AI with Bryan CantrillApr 8, 2026

A grounded discussion of AI, software abundance, and the case for modern on-prem infrastructure.

O11ycast frames AI less as a stand-alone product category than as a force that could make software cheaper, more plentiful, and more locally useful.

Ep. #88, Metrics Are Good, Actually with Charity MajorsJan 14, 2026

A practical case for moving observability into the developer workflow as AI speeds up software work.

O11ycast brings Charity Majors, Ken Rimple, and Jessica Kerr into a focused discussion of why DevOps still often fails to connect development and production into a useful feedback loop.

Ep. #87, Augmented Coding Patterns with Lada KesselerDec 23, 2025

A practical episode about making coding assistants' goals, context, and next steps easier to inspect.

Augmented coding patterns treats a coding assistant less like a magic autocomplete box and more like a working system that needs visibility. It opens with AI playing Zork, then turns that into a useful way to think about agents moving through a codebase: if you cannot see the…

Ep. #86, 12 Years and 100 Million Customers with Amarilis Campos of NubankOct 29, 2025

A clear observability discussion that treats the customer journey as the real test of reliability.

Reliability is given a practical, customer-facing shape here: service health matters because someone is trying to complete a credit card transaction, make a lending transaction, or send money to family.

Ep. #85, AI/LLM in Software Teams: What’s Working and What’s Next with Dr. Cat HicksAug 13, 2025

A careful discussion of why teams should listen to developers before AI expectations reshape software work.

Ollicast frames the AI-in-software-teams debate around the people being asked to absorb the change. With Kat Hicks, a psychologist for software teams and research architect, the episode looks at why developers may not always see the promised benefits of tools meant to reshape…

Ep. #80, Augmented Coding with Kent BeckApr 30, 2025

A grounded look at agents, learning, and the habits augmented coding may require.

O11ycast frames augmented coding less as a novelty than as a shift in the way software work gets shaped. Its strongest moments stay close to practice: an iOS app the guest does not yet know how to build, an agent treated as a power tool, and a useful reluctance to let "vibe…

Podcasts like O11ycast

Episodes

  1. 1

    Ep. #89, Software Is the Killer App for AI with Bryan Cantrill

    Hidden gem

    ["Brian Cantrell says software is becoming the killer app for AI, comparing the shift to open source and to his kitchen-fires metaphor about 'a thousand kitchens in every home.'", "He explains why Oxide Computer launched in 2019 around rack-mounted systems, API-driven infrastructure, and ownership instead of a cloud rental model.", "The episode also revisits how 'observability' emerged from `dtrace` work at Sun and spread through Twitter and related system teams.", "Cantrell argues that generative AI's real workload is CPU-bound software work, while the bigger macro story is still uncertain and often mislabeled as AI-driven layoffs."]

    Apr 8, 2026·41m·2 clips
  2. 2

    Ep. #88, Metrics Are Good, Actually with Charity Majors

    Hidden gem

    Charity Majors tells Ken Rimple and Jessica Kerr that metrics still fit infrastructure, but user-facing software needs structured logs and trace spans.

    Jan 14, 2026·37m·3 clips
  3. 3

    Ep. #87, Augmented Coding Patterns with Lada Kesseler

    Hidden gem

    O11ycast episode #87, "Augmented Coding Patterns with Lada Kesseler," opens on the question of how you know what your coding assistant is doing.

    Dec 23, 2025·48m·3 clips
  4. 4

    Ep. #86, 12 Years and 100 Million Customers with Amarilis Campos of Nubank

    Hidden gem

    Amarilis Campos of Nubank joins Observability Cast to discuss tracing, reliability, and observability for a bank that says it has more than 100 million customers across Brazil, Mexico, and Colombia.

    Oct 29, 2025·37m·2 clips
  5. 5

    Ep. #85, AI/LLM in Software Teams: What’s Working and What’s Next with Dr. Cat Hicks

    Hidden gem

    ObservabilityCast #85 with Kat Hicks asks whether AI in software teams should be measured as one developer's speed or as a change to the code base and company.

    Aug 13, 2025·51m·3 clips
  6. 6

    Ep. #84, Maddy Montaquila on .NET Aspire

    Hidden gem

    ["O11ycast Ep.

    Jul 14, 2025·41m·2 clips
  7. 7

    Ep. #83, Observability Isn't Just SRE on Steroids with Dan Ravenstone

    Hidden gem

    Dan Ravenstone says an observability engineer is not just doing DevOps or SRE work, because the job reaches product owners, customer success, and user experience.

    Jun 11, 2025·36m·3 clips
  8. 8

    Ep. #82, Automating Developer Toil with Morgante Pell of Grit

    Hidden gem

    O11ycast episode #82 follows Morgante Pell explaining how Grit started in 2022, before ChatGPT launched, to automate developer toil and technical debt.

    May 28, 2025·39m·2 clips
  9. 9

    Ep. #81, Observability 3.0-vNext-final-DRAFT with Hazel Weakly and Matt Klein

    Hidden gem

    ObservabilityCast's 'Observability 3.0-vNext-final-DRAFT' opens with the question, 'how much data that you emit do you ever look at?' Martin Thwaites and Charity Majors host Hazel Weakley and Matt Klein, who bring systems thinking, Envoy, AWS, Twitter, Lyft, and BitDrift into the same ROI debate.

    May 14, 2025·41m·2 clips
  10. 10

    Ep. #80, Augmented Coding with Kent Beck

    Hidden gem

    O11ycast #80 centers on Kent Beck's argument for "augmented coding" over "vibe coding," and he says the world was ready for the concept.

    Apr 30, 2025·40m·2 clips
  11. 11

    Ep. #79, AI and Otel: Look at your Data with Hamel Husain

    Mar 18, 2025·47m
  12. 12

    Ep. #78, Exploring OTTL with Tyler Helmuth and Evan Bradley

    Feb 11, 2025·42m
  13. 13

    Ep. #77, Observability 2.0 and Beyond with Jeremy Morrell

    Jan 15, 2025·45m
  14. 14

    Ep. #76, Managing 200-Armed Agents with Andrew Keller

    Dec 17, 2024·39m
  15. 15

    Ep. #75, O11yneering with Daniel Ravenstone and Adriana Villela

    Nov 5, 2024·46m
  16. 16

    Ep. #74, The Universal Language of Telemetry with Liudmila Molkova

    Oct 22, 2024·45m
  17. 17

    Ep. #73, AI’s Impact on Observability with Animesh Koratana of PlayerZero

    Sep 18, 2024·39m
  18. 18

    Ep. #72, Mobile Observability with Hanson Ho of Embrace

    Aug 21, 2024·43m
  19. 19

    Ep. #71, Evaluating LLM-based Apps with Shir Chorev of Deepchecks

    Jun 20, 2024·41m
  20. 20

    Ep. #70, Evangelizing Observability with Dan Gomez Blanco of Skyscanner

    May 21, 2024·46m
  21. 21

    Ep. #69, Collecting Cybercrime Data with Charles Herring of WitFoo

    Apr 24, 2024·49m
  22. 22

    Ep. #68, Observa-What? with Michele Mancioppi of Dash0

    Mar 19, 2024·47m
  23. 23

    Ep. #67, Managing Infrastructure Costs with Performance Engineering

    Feb 27, 2024·44m
  24. 24

    Ep. #66, Building Observability Platforms with Iris Dyrmishi of Miro

    Jan 17, 2024·35m
  25. 25

    Ep. #65, Simplifying Tracing with Sophie DeBenedetto of GitHub

    Nov 21, 2023·36m
  26. 26

    Ep. #64, Shared Language Concepts with Austin Parker of Honeycomb

    Oct 24, 2023·35m
  27. 27

    Ep. #63, Observability in the Database with Lukas Fittl of pganalyze

    Oct 4, 2023·36m
  28. 28

    Ep. #62, Adopting OpenTelemetry with Doug Ramirez of Uplight

    Sep 7, 2023·37m
  29. 29

    Ep. #61, What Comes After o11y with Heidi Waterhouse of Sym

    May 31, 2023·43m
  30. 30

    Ep. #60, Customer-Centric Observability with Todd Gardner and Winston Hearn

    Apr 27, 2023·46m
  31. 31

    Ep. #59, Learning From Incidents with Laura Maguire of Jeli

    Apr 13, 2023·49m
  32. 32

    Ep. #58, Game Development with Brenna Moore of Second Dinner

    Feb 15, 2023·39m
  33. 33

    Ep. #57, Monitoring K8s Applications with Shahar Azulay of Groundcover

    Jan 19, 2023·40m
  34. 34

    Ep. #55, The Dev Side of Observability with Martin Thwaites of Honeycomb

    Sep 1, 2022·32m
  35. 35

    Ep. #54, Cloud Native Observability with Alex Boten of Lightstep

    Jun 30, 2022·39m
  36. 36

    Ep. #53, Seduced by Reality with Jean Yang of Akita Software

    Jun 20, 2022·29m
  37. 37

    Ep. #52, Service Level Objectives with Alex Hidalgo of Nobl9

    May 31, 2022·39m
  38. 38

    Ep. #51, Performance Engineering with Henrik Rexed of Dynatrace

    Apr 13, 2022·38m
  39. 39

    Ep. #50, Identifying Weak Spots with Benjamin Wilms of Steadybit

    Apr 1, 2022·33m
  40. 40

    Ep. #49, Incident Commanders with Fred Hebert of Honeycomb

    Mar 7, 2022·40m
  41. 41

    Ep. #48, Mastering Migrations with Adriana Villela of Tucows

    Dec 23, 2021·29m
  42. 42

    Ep. #47, Outcome-based Observability with Gibbs Cullen of Chronosphere

    Dec 7, 2021·25m
  43. 43

    Ep. #46, Guiding Observability Teams with James Deville of Procore Technologies

    Nov 12, 2021·32m
  44. 44

    Ep. #45, Choosing OpenTelemetry with Chris Holmes of Simply Business

    Oct 26, 2021·27m
  45. 45

    Ep. #44, Examining OpenTelemetry with Vincent Behar of Ubisoft

    Oct 7, 2021·30m
  46. 46

    Ep. #43, Going Serverless with Apostolis (Toli) Apostolidis of Cinch

    Toli Apostolidis discusses Cinch's transition from container-based Kubernetes to serverless architecture and the operational challenges they faced.

    Aug 26, 2021·35m
  47. 47

    Ep. #42, Continuous Profiling with Dmitry Filimonov of Pyroscope

    Dmitry Filimonov discusses continuous profiling in production, addressing performance and storage concerns.

    Jul 20, 2021·29m
  48. 48

    Ep. #41, Organizing Conferences with Aaron Aldrich of Red Hat

    Aaron Aldrich discusses his role bridging skill gaps for Kubernetes adoption and shares insights from organizing DevOps Days Boston, comparing conference production monitoring to observability.

    Jul 6, 2021·35m
  49. 49

    Ep. #40, Player Experience with Nick Herring of CCP Games

    Nick Herring discusses his journey with technology decisions and cardinality problems in observability.

    Jun 17, 2021·40m
  50. 50

    Ep. #39, Sell The Sizzle with Jordan Simonovski of Atlassian

    Jordan Simonovski discusses how Atlassian improves developer experience and observability practices at scale.

    Jun 4, 2021·30m